Triple

T14636192
Position Surface form Disambiguated ID Type / Status
Subject Jamaica Kincaid E343613 entity
Predicate notableWork P4 FINISHED
Object Lucy
"Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
E1110724 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lucy | Statement: [Jamaica Kincaid, notableWork, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy
Context triple: [Jamaica Kincaid, notableWork, Lucy]
  • A. Lucy
    Lucy is a NASA Discovery Program space mission designed to study Jupiter’s Trojan asteroids to better understand the early solar system’s formation and evolution.
  • B. Lucy
    Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • C. Lucy
    Lucy Hawking is a British journalist, novelist, and educator best known for her children’s science books co-written with her father, physicist Stephen Hawking.
  • D. Lucy
    Lucy is the given name of Lucy Flucker Knox, the wife of American Revolutionary War General Henry Knox and a notable figure in early American history.
  • E. Lucy
    Lucy is a fictional lion character, likely depicted with anthropomorphic traits in a narrative or animated context.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lucy
Triple: [Jamaica Kincaid, notableWork, Lucy]
Generated description
"Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucy
Target entity description: "Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
  • A. Lucy
    Lucy is the young, spirited protagonist of E.M. Forster's novel "A Room with a View," known for her struggle between social convention and personal passion.
  • B. Lucy
    Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
  • C. Lucy
    Lucy is a central character in the film and play "Jack Goes Boating," serving as one of the key figures around whom the story’s romantic and interpersonal dynamics revolve.
  • D. Lucy
    Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • E. Lucy
    "Lucy" is a 2014 science fiction action film directed by Luc Besson, in which Scarlett Johansson plays a woman who gains extraordinary mental and physical abilities after a drug enters her system.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ab9578819085b4cf7244d30d87 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda933937881909f3cf59fba878dfd completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb3efb4fc8190bca7469d89a66a85 completed May 8, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69fdb48b5ca08190be61da2fdb7dbce4 completed May 8, 2026, 10:01 a.m.
Created at: April 10, 2026, 1:26 a.m.